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SOM System-On-Modules - SOM Google Edge TPU ML Compute Accelerator, Integrate The Edge TPU into Legacy and New Systems Using a Standard M.2-2280-B-M-S3 (B/M Key)

4 / 5

Product ID:

385719

Identifier:

B08BR3C21M

Brand:

Google Coral

Model:

Shipping Weight:

0.02 lbs

Manufacturer:

Google Coral

Shipping Dimension:

3.19 x 2.05 x 1.34 inches

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₱6,919

+ ₱ 150

International Shipping

Shipping Cost from USA to Philippines inclusive of custom fees.

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Get it between 2026-05-15 to 2026-05-22.

Additional 3 business days for provincial shipping.

- Price and Stocks may change without prior notice

- Packaging of actual item may differ from photo shown

  • Electrical items MAY be 110 volts.
  • 7 Day Return Policy
  • Cash On Delivery/Cash Upon Pickup Available

    Cash upon Pick-up - orders grand total must not exceed ₱5,000.00. Order will be pickup at Galleon's Office.

    Cash on Delivery - orders grand total must not exceed of ₱10,000.00 and must not exceed ₱5,000.00 for provincial areas. See all payment methods

FEATURES

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Connector: M.2-2280-B-M-S3 (B/M Key)

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Google Edge TPU coprocessor

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22.00 x 80.00 x 2.35 mm

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Supports TensorFlow Lite

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Works with Debian Linux

DESCRIPTIONS

Performs high-speed ML inferencing The on-board Edge TPU coprocessor is capable of performing 4 trillion operations (tera-operations) per second (TOPS), using 0.5 watts for each TOPS (2 TOPS per watt). For example, it can execute state-of-the-art mobile vision models such as MobileNet v2 at 400 FPS, in a power efficient manner. See more performance benchmarks. Works with Debian Linux Integrates with any Debian-based Linux system with a compatible card module slot. Supports TensorFlow Lite No need to build models from the ground up. TensorFlow Lite models can be compiled to run on the Edge TPU. Supports AutoML Vision Edge Easily build and deploy fast, high-accuracy custom image classification models to your device with AutoML Vision Edge.

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